Senior Data Scientist

2 Months ago • 5 Years +

Job Summary

Job Description

N-iX seeks a Senior Data Scientist to lead data science and AI initiatives, developing advanced analytics solutions and short-term projects. Responsibilities include pre-sales activities (proposals, assessments, POCs), data analysis, collaboration with cross-functional teams, communicating findings to stakeholders, and setting up performance testing frameworks. The ideal candidate will have 5+ years of experience in data science with a focus on machine learning and NLP, proficiency in Python and SQL, and familiarity with various frameworks and tools (LangChain, MLflow, Hugging Face, etc.).
Must have:
  • 5+ years data science experience
  • Machine learning & NLP expertise
  • Python, SQL proficiency
  • Data analysis & visualization
  • Pre-sales participation
  • Communication & presentation skills
Good to have:
  • Cloud experience (AWS, Azure, GCP)
  • Project leadership experience
Perks:
  • Flexible work format
  • Competitive salary
  • Career growth opportunities
  • Professional development tools
  • Education reimbursement
  • Corporate events

Job Details

N-iX is a software development service company with a 22-year history. We leverage talent to serve Fortune 500 companies and tech startups. N-iX operates in nine countries and employs over 2,000 professionals. 

We are seeking a highly skilled and energetic Senior Data Scientist to lead and contribute to our data science and AI-centric initiatives. The role involves developing advanced analytics solutions and leading short-term projects.

Requirements:

  • Master’s or Ph.D. in Data Science, Statistics, Computer Science, or a related field
  • 5+ years of experience in data science with a strong focus on machine learning and natural language processing
  • Proficiency in Python and SQL
  • Knowledge of classic DataScience frameworks stack (pandas, numpy, scikit-learn)
  • Familiarity with prompt engineering techniques and LLM agent frameworks (LangChain, LangGraph, LangSmith, Vector Databases)
  • Strong understanding of statistical methods, hypothesis testing, data visualization, and feature engineering best practices (Matplotlib, plotly)
  • Familiarity with MLflow, containerization, and orchestrators
  • Knowledge and hands-on experience with Generative AI, including Prompt Engineering, Fine-Tuning, Automatic Evaluation, and Retrieval-Augmented Generation (RAG) and frameworks (huggingface, ragas)
  • Excellent verbal and written skills in English
  • Strong communication and presentation skills

Responsibilities:

  • Participate in pre-sales activities that include but are not limited to the preparation of proposals, technical assessments, and implementation of proofs of concept
  • Understand customer challenges and business needs, analyze and estimate requirements, as well as identify the risks involved and provide solutions to them
  • Conduct in-depth data analysis to identify patterns, trends, and insights
  • Collaborate with cross-functional teams to define project scope and objectives
  • Communicate complex findings to non-technical stakeholders effectively
  • Set up a testing framework to evaluate agent performance, measure key metrics, and identify optimization opportunities

Nice to have:

  • Hands-on experience with Cloud Providers and their services: AWS (Bedrock, SageMaker, Textract, Polly), Azure (AI Search, OpenAI, Document Intelligence), or GCP (Vertex AI)
  • Experience in leading data science projects from conception to deployment



We offer*:

  • Flexible working format - remote, office-based or flexible
  • A competitive salary and good compensation package
  • Personalized career growth
  • Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
  • Active tech communities with regular knowledge sharing
  • Education reimbursement
  • Memorable anniversary presents
  • Corporate events and team buildings
  • Other location-specific benefits

*not applicable for freelancers

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